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Course Outline
INTRODUCTION TO DAMA
- Understanding data management and its critical importance.
- Exploring the various disciplines within data management.
- DAMA and the DMBoK 2.0, and its relationship with other frameworks (TOGAF, COBIT, etc.).
- Overview of available professional certifications focusing on the DAMA CDMP.
DATA GOVERNANCE
- Defining Data Governance, its importance, and a typical data governance reference model.
- Key data governance roles: owner, steward, and custodian.
- The role of the Data Governance Office (DGO) and its relationship with the PMO.
- Distinguishing between Data Governance and IT Governance, and why the distinction matters.
- Overview of data management implications arising from selected regulations.
- Key steps organizations can take to prepare for compliance with current and future regulations.
- Initiating data governance, as well as sustaining and building upon it.
DATA LIFECYCLE MANAGEMENT
- Proactive planning for managing data across its entire lifecycle.
- Differences between the data lifecycle and a Systems Development Lifecycle (SDLC).
- Data governance touch points throughout the data lifecycle.
METADATA MANAGEMENT
- Defining metadata and understanding its importance.
- Types of metadata, their uses, and their sources.
- The connection between metadata and business glossaries.
- How metadata serves as essential glue for data governance and metadata standards.
DG MINI PROJECT
- Launching the Data Governance Program: essential early steps. Developing a realistic business case for DG aligned with business objectives.
DOCUMENT RECORDS & CONTENT MANAGEMENT
- The importance of document and records management.
- Taxonomy vs. ontology: understanding the differences.
- Legal and regulatory considerations impacting records and content management.
DATA MODELING BASICS
- Types of data models, their uses, and how they interrelate.
- Developing and exploiting data models, ranging from enterprise and conceptual to logical, physical, and dimensional levels.
- Maturity assessment to evaluate how models are utilized within the enterprise and integrated into the System Development Life Cycle (SDLC).
- Data modeling in the context of big data.
- The critical role of data modeling in data governance and a business case study.
DATA QUALITY MANAGEMENT
- The various facets of data quality, and why validity is often confused with quality.
- Policies, procedures, metrics, technology, and resources required to ensure data quality.
- A data quality reference model and how to apply it.
- The interconnection between data quality management and data governance, supported by case studies.
DATA OPERATIONS MANAGEMENT
- Core roles and considerations for data operations.
- Best practices for data operations.
DATA RISK & SECURITY
- Identifying threats and adopting defenses to prevent unauthorized access, use, or loss of data, particularly the abuse of personal data.
- Identifying risks (beyond just security) to data and its usage.
- Data management considerations for various regulations, such as GDPR and BCBS239.
- The role of data governance in data security management.
MASTER & REFERENCE DATA MANAGEMENT
- The differences between reference and master data.
- Identification and management of master data across the enterprise.
- Four generic MDM architectures and their suitability in different scenarios.
- Strategies for incrementally implementing MDM to align with business priorities.
- Case study: Statoil (Equinor).
DATA WAREHOUSING, BUSINESS INTELLIGENCE & DATA ANALYTICS
- Defining data warehousing and business intelligence, and explaining why they are necessary.
- Major data warehouse architectures (Inmon & Kimball).
- Introduction to dimensional data modeling.
- Understanding why master data management fails without adequate data governance.
- Data analytics, machine learning, and data visualization.
DATA INTEGRATION & INTEROPERABILITY
- What business and technology issues data integration aims to address?
- Data integration versus data interoperability: understanding the differences.
- Different styles of data integration and interoperability, their applicability, and implications.
- Approaches and guidelines for providing data integration and access.
35 Hours
Testimonials (7)
Very engaging
Samieg - Vodacom
Course - Certified Data Management Professional (CDMP)
it was very interactive and although I was not exposed to some modules before, Gaurav made it easy to understand. Good Participation in the team
UVASH - Vodacom
Course - Certified Data Management Professional (CDMP)
The training covered all the areas that were required. Very Insightful.
Carol - Vodacom
Course - Certified Data Management Professional (CDMP)
Material was covered according to the weight of the exam's marks. gave a better understanding of this course. Quizes helped a lot
Saika - Vodacom
Course - Certified Data Management Professional (CDMP)
Quizzes to test our knowledge and white board work kept us engaged.
Paula Dunsby - Vodacom
Course - Certified Data Management Professional (CDMP)
The instructor was very simple and clear on the point of the course
Mohamed - Dubai Government Human Resources Department - DGHR
Course - Certified Data Management Professional (CDMP)
Practical knowledge of the trainer
